{"id":"W4388399235","doi":"10.1007/s00285-023-02016-1","title":"Effective population size in simple infectious disease models","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Outbreak; Population; Population size; Population model; Infectious disease (medical specialty); Epidemic model; Effective population size; Census; Statistics; Population genetics; Small population size; Econometrics; Biology; Demography; Mathematics; Disease; Genetic diversity; Medicine; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003536714,0.000634888,0.00144746,0.001920352,0.0006635461,0.001953026,0.002062011,0.001758754,0.002281288],"category_scores_gemma":[0.02005059,0.0005636445,0.000802184,0.000761541,0.002293876,0.003689661,0.001255048,0.001309798,0.0002729917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229286,"about_ca_system_score_gemma":0.0007545222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544323,"about_ca_topic_score_gemma":0.001248109,"domain_scores_codex":[0.9988319,0.0007033211,0.00003790567,0.0001160216,0.0001838638,0.0001270675],"domain_scores_gemma":[0.9854828,0.01179702,0.001081601,0.000539889,0.0005535877,0.0005450572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000344726,0.00005285116,0.002076705,0.0001335592,0.00007591697,0.0001976429,0.000245718,0.1207847,0.001027452,0.8692403,0.001597573,0.004533132],"study_design_scores_gemma":[0.0000259635,0.00002173397,0.000867912,0.00001739311,0.00002883306,0.0001212684,0.00004259288,0.3763757,0.00009617547,0.6218174,0.0005672571,0.00001786797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5643252,0.003738367,0.3896609,0.006117442,0.0003085225,0.00007015013,0.0002568289,0.0002338146,0.03528887],"genre_scores_gemma":[0.9838678,0.001361675,0.008252311,0.0002601698,0.0002865104,0.00006028411,0.00009230425,0.00004354675,0.005775528],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003536714,"threshold_uncertainty_score":0.01870418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571345840797612,"score_gpt":0.4425374383708984,"score_spread":0.2854028542911372,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}